Onchieku K.

Key Skills

Software

Don't disclose

Top Subject Matter

LLM evaluation for cloud architecture

Cybersecurity Domain Expertise

and enterprise IT systems

Top Data Types

Text

Document

Top Task Types

Prompt + Response Writing (SFT)

Freelancer Overview

Independent IT Consultant & Technical Evaluator (AI model evaluation and prompt/repro test-case development). Brings 15+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose, Internal, and Proprietary Tooling. Education includes Master of Science, University of Illinois, MI (2023) and Bachelor of Science, Kenyatta University (2019). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

Independent IT Consultant & Technical Evaluator (AI model evaluation and prompt/repro test-case development)

Don't discloseText

Evaluated the performance and reasoning of large language models on advanced computer systems topics through repeatable test cases. Authored and refined prompts to simulate real-world scenarios across cloud architecture, cybersecurity, data systems, and enterprise integration. Documented edge cases and failure points with detailed reproduction steps to guide model training refinements. • Developed prompts and reproducible evaluation scenarios for LLM testing. • Assessed reasoning gaps and provided feedback on technical soundness. • Improved evaluation metrics and rubrics for model training. • Produced detailed documentation of failures, edge cases, and recommended fixes.

2021 - Present

Technical Writing & AI Contributions (prompt/test-case creation for model training)

TextPrompt + Response Writing (SFT)

Contributed a large library of technical prompts and reproducible test cases intended for AI model training across systems architecture, cybersecurity, and cloud design. Collaborated with LLM researchers to develop evaluation rubrics for real-world IT scenario testing and model assessment. Authored technical white papers to support AI-guided system monitoring and enterprise automation efforts for internal R&D. • Created 150+ technical prompts and reproducible test cases for model training. • Developed evaluation rubrics with LLM researchers for IT scenario tests. • Wrote internal white papers on AI-guided monitoring and automation. • Supported model evaluation workflows for robustness and accuracy.

2019 - 2020

Education

Work History